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SAS(R) Real-Time Decision Manager: Creating and Managing Campaigns

Course Details
Code: RTUS65
Tuition (USD): $1,625.00 • Classroom (2.5 days)
$1,625.00 • Virtual (2.5 days)
Course Details
GSA (USD): $1,473.55 • Classroom (2.5 days)
$1,473.55 • Virtual (2.5 days)

This course provides an overview of SAS Real-Time Decision Manager 6.5 and prepares you to construct inbound marketing decisions using the solution.

Skills Gained

  • navigate the SAS Real-Time Decision Manager interface
  • create campaigns and diagrams using SAS Real-Time Decision Manager
  • create treatments
  • arbitrate treatments
  • create history campaigns
  • test and validate campaigns
  • mark campaigns for deployment.

Who Can Benefit

  • Anyone responsible for designing, implementing, and testing marketing campaigns using SAS Real-Time Decision Manager


  • There are no formal prerequisites for this course. Before attending this course, you should have basic skills using a web browser and software based on the Windows environment, and be familiar with business issues and processes for interactive marketing campaigns.

Course Details

Introduction to SAS Real-Time Decision Manager

  • introduction
  • creating and implementing campaigns
  • working in SAS Customer Intelligence Studio
  • inbound campaign basics

Campaign Fundamentals and Basic Nodes

  • the Start and Reply nodes
  • the Process and Business Rules node
  • the Filter node
  • the Branch node
  • assigning treatments
  • assigning reply variable values

Advanced Nodes

  • the A/B Test node
  • calculated variables and the Assignment node
  • the Cross Table node
  • the Subdiagram node
  • the Stage node

Creating Treatments

  • creating treatments
  • inbound contact rules
  • dynamic treatment custom details
  • updating treatments

Treatment Eligibility and Arbitration

  • treatment eligibility
  • treatment arbitration using sorting
  • treatment arbitration using self-learner processes

Decision Treatment Campaigns and Campaign Sets

  • overview of decision campaigns, decision treatment campaigns, and decision treatment campaign sets
  • creating decision treatment campaigns
  • creating and using decision treatment campaign sets

Finalizing a Campaign

  • validation and testing
  • documenting and marking for deployment

History Campaigns

  • introduction to the common data model
  • capturing campaign history data
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